Sentence examples for categorization may have from inspiring English sources

Although collecting data from all available PDMs might have minimized selection bias, the process of categorization may have resulted in informational bias due to the difficulty in interpreting ambiguous and obscure descriptions contained in some of the PDMs.

Because this categorization may have included youth with a range of experience with sex work, there may be great variability in the group we characterized as "youth with a history of sex work".

The MEDLINE categorization algorithm may have several uses in bibliometrics: To categorize the scientific production of one scientist (or a group of scientists or an entire laboratory): for example, to check if its main fields of research are correlated with the top-rated metaterms generated by the algorithm.

Imbedded in the software and hardware code of information technology applications are complex rules of logic and categorization that may have material consequences for those using them, and for the production of social order more generally (Introna & Wood 2004, Introna & Nissenbaum 2000).

Different categorization approaches may have modified specific study findings and conclusions.

A different categorization strategy may have been possible but in the absence of agreed-upon procedure, we set the SEM as the cut-off point.

Finally, the temporal restriction on categorization of patients may have resulted in misclassification.

This categorization was too broad and may have masked the effect of education if any by combining individuals with several years of schooling with those with few years of schooling.

Fourth, interviews were conducted by a clinical psychologist and analyzed by a team of psychiatrists and psychologists actively involved in multimodal treatment for patients with ADHD, which may have influenced categorization.

We used a broad race categorization (white vs. non-white) that may have masked differences in some specific racial/ethnic groups, and further study is needed on more racially diverse samples.

One of the limitations of this study is that there is no definitive classification for high- and non-high-income countries and, while we used a widely accepted categorization scheme, some of the countries may have been classified differently using other approaches.